Home / Roles / Titles / Wireless Communication And Data Processing Engineer / CA / FY2017
Wireless Communication And Data Processing Engineer H-1B roles in CA, FY2017
Exact-title LCA role declarations for Wireless Communication And Data Processing Engineer in CA during FY2017. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 2 returned rows using keyset pagination.
Summary
This view lists 2 H-1B LCA role records.
Offered wages among the returned rows range from $108,805 to $131,955.
Employers in the returned rows include LUCI.
LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
| Role | Employer | SOC | Status / visa | Decision | Worksite | Offered wage | Prevailing wage | Source |
|---|---|---|---|---|---|---|---|---|
| WIRELESS COMMUNICATION AND DATA PROCESSING ENGINEER I-200-17070-191373 | LUCI | 17-2072 | CERTIFIED-WITHDRAWN / H-1B FY2017 | 2017-07-07 | Santa Clara, CA, 95054 | $108,805 to $131,955 year | $108,805 | sr_dol_oflc_lca_2017_q2_row_524497 |
| WIRELESS COMMUNICATION AND DATA PROCESSING ENGINEER I-200-16354-931953 | LUCI | 17-2072 | CERTIFIED / H-1B FY2017 | 2017-03-16 | Santa Clara, CA, 95054 | $108,805 to $131,955 year | $108,805 | sr_dol_oflc_lca_2017_q2_row_290846 |
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Frequently asked questions
- What are the offered H-1B wages for Wireless Communication And Data Processing Engineer H-1B roles in CA, FY2017?
- Offered wages among the returned Wireless Communication And Data Processing Engineer H-1B roles in CA, FY2017 rows range from $108,805 to $131,955 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
Get this page with API
Rendered from the bluedoor H-1B Jobs API. Reproduce it:
GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=wireless+communication+and+data+processing+engineer&title_match=exact&state=CA&fiscal_year=2017JSON